Top Tech Jobs & Startup Jobs in Chicago, IL

Manage the full enterprise sales cycle, from prospecting and pipeline development through demos, technical evaluations, negotiations, and contract close. Build relationships with engineering, platform, security, procurement, and executive stakeholders while partnering with Sales Engineers. Develop ROI and risk business cases, navigate complex enterprise reviews, exceed quota, and travel as needed to support customer relationships and deals.

Owns the end-to-end onboarding and ramp curriculum for sales and customer-facing technical teams. Responsibilities include creating 30/60/90-day plans, certification frameworks, onboarding content, cohort logistics, and ramp metrics. The role partners with sales, technical enablement, product, marketing, and functional leaders to keep programs current, scalable, and aligned with business needs. It also gathers feedback, tracks time-to-productivity, and serves as the primary contact for new hires during ramp.

Lead and grow an engineering team building agentic development systems. Set technical direction, contribute to architecture and implementation, and improve agent execution, tool use, context management, streaming, reliability, performance, and operability. Partner with Product and Design to create developer experiences while extending provider-agnostic model integrations. Coach engineers, clarify priorities, and maintain a high technical and execution standard.

Own enterprise customer onboarding, deployment, adoption, technical success plans, renewals, and expansion opportunities. Guide customer administrators and platform teams on configuration, deployment readiness, and best practices while coordinating complex issues with Solutions, Support, Product, and Engineering. Monitor customer health, usage, risks, and adoption milestones; serve as the primary customer contact and provide actionable product feedback. The role requires strong technical fluency across cloud infrastructure, DevOps, developer tools, and SaaS or self-hosted deployments.

Owns enterprise customer onboarding, rollout plans, adoption, health monitoring, renewals, forecasting, and expansion opportunities. Partners with Sales, Support, Product, and other teams to resolve issues, gather feedback, and drive customer outcomes. Serves as the primary customer contact while developing expertise in Coder’s platform and providing guidance to technical and executive stakeholders.

Provides senior-level technical support to enterprise customers by reproducing and debugging complex issues, resolving high-severity incidents, and communicating solutions. Collaborates with Product, Customer Success, and Account Management, leads customer debugging calls, identifies product feedback, documents support activity, mentors team members, improves workflows, contributes to technical documentation, and participates in an on-call rotation.

Own technical pre-sales for federal, defense, and intelligence customers. Lead platform demonstrations, architecture discussions, deployments, troubleshooting, and proofs of concept in cloud, on-premises, classified, and air-gapped environments. Partner with account executives to close opportunities, support renewals, translate technical capabilities into mission value, and provide customer feedback to product and engineering teams. Focus areas include Kubernetes, infrastructure as code, cloud development environments, and AI-assisted or agentic software development.

Own technical relationships with Fortune 500 prospects through pre-sales, demos, architecture discussions, deployments, troubleshooting, and proofs-of-concept. Demonstrate Coder across developer, administrator, and AI-agent workflows; translate technical outcomes into business value; and provide product feedback to Engineering and Product. Install and support Coder on cloud and on-premises Kubernetes or VM infrastructure, while contributing documentation and developing expertise in cloud development environments and agentic AI.

Build and operate production systems for agentic development experiences, including agent execution, tool use, context management, streaming, integrations, and long-running workflows. Extend provider-agnostic model architecture and connect agents with workspaces, tools, and developer infrastructure. Own projects through rollout, collaborate with Product and Design, participate in reviews, and improve system reliability, performance, and operability.

Build and maintain enterprise AI governance components (LLM gateway, Agent Firewall) across full stack (Go backend, React frontend). Ship features, harden security, integrate LLM provider APIs, collaborate with product, partners, and enterprise customers, and contribute to open-source tooling.